| name | explain-diff-html |
|---|---|
| description | Use when the user asks for a rich explanation of a code change, diff, branch, or PR. Produces HTML output. |
Please make me a rich, interactive explanation of the specified code change.
It should have these sections:
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| // | |
| // PowerButtonDetector.h | |
| // BootManager | |
| // | |
| // Created by Akira on 4/7/15. | |
| // | |
| // | |
| #ifndef BootManager_PowerButtonDetector_h | |
| #define BootManager_PowerButtonDetector_h |
| @ setlocal enableextensions | |
| @ cd /d "%~dp0" | |
| for /R %%a in (*.exe) do ( | |
| netsh advfirewall firewall add rule name="Blocked with Batchfile %%a" dir=out program="%%a" action=block | |
| ) |
Sahil's taste, distilled from every correction he's given. Every human-facing artifact — email, support reply, GitHub issue/PR/comment, Telegram message, report, UI copy — gets checked against this before it ships. When a new correction lands, it gets added here; this file is the single source of truth, not scattered memory notes.
Ein asynchroner, performanter Virtual Piano Player für Roblox, entwickelt in AutoHotkey. Das Tool ermöglicht es, Piano Sheets vollautomatisch und fehlerfrei in Roblox-Klaviere einzutippen, ohne das Spiel zu blockieren.
| Play this game by pasting the script in http://www.puzzlescript.net/editor.html |
Purpose & scope. A defensive/educational knowledge base cataloguing known prompt-injection and jailbreak patterns, the models/systems they have affected, and the defenses against them. Compiled from primary literature (arXiv papers, vendor disclosures) and security research, June 2026.
How to read this. Every technique lists: how it works, an illustrative structural skeleton (the shape of the attack, not a weaponized payload), the models/systems it was reported against, and its current status. Examples are deliberately defanged. >